Handling complex multilevel data structures
| dc.contributor.advisor | Beretvas, Susan Natasha | |
| dc.creator | Li, Yuanhan | en |
| dc.date.accessioned | 2013-12-05T18:48:42Z | en |
| dc.date.issued | 2013-05 | en |
| dc.date.submitted | May 2013 | en |
| dc.date.updated | 2013-12-05T18:48:42Z | en |
| dc.description | text | en |
| dc.description.abstract | This report focuses on introducing two statistical models for dealing with data involving complex social structures. Appropriate handling of data structures is a concern in the context of educational settings. From base single-level data to complex hierarchical with cross-classifications and multiple-memberships, we explain and demonstrate their distinction and establish appropriate regression models. Real data from the National Center for Education Statistics (NECS) is used to demonstrate different way of handling a cross-classified data structure as well as appropriate models. Results will be presented and compared to examine the practical operation for each model. | en |
| dc.description.department | Statistics | en |
| dc.format.mimetype | application/pdf | en |
| dc.identifier.uri | http://hdl.handle.net/2152/22569 | en |
| dc.language.iso | en_US | en |
| dc.subject | Hierarchical model | en |
| dc.subject | Cross-classification | en |
| dc.subject | Multiple-membership | en |
| dc.title | Handling complex multilevel data structures | en |
| thesis.degree.department | Statistics | en |
| thesis.degree.discipline | Statistics | en |
| thesis.degree.grantor | The University of Texas at Austin | en |
| thesis.degree.level | Masters | en |
| thesis.degree.name | Master of Science in Statistics | en |